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|:---------------- | :-------------------------------------------------------------| |Address | Singapore | |Phone | (+65) 8142-2072 | |Email | vmthanhit@gmail.com | |Skype | luckyluck379 | |Github | vmthanh | |Linkedin | thanh-minh-vo | |PDF File | Resume |

Research Area

Machine Learning * Deep Learning * Computer Vision * Imbalanced Data

Skills

  • Programing Languages: Python, Java, Matlab, C++.

  • Computer Science: Algorithms, Data Structure, Computer Vision, Machine Learning.

  • Deep Learning Dev: Tensorflow, Pytorch, Keras, FAISS, Milvus, Scikit-Learn, Pandas.

  • Database: SQL.

  • Languages: English (professional working proficiency). Vietnamese (native). Korean (basic).

Experiences

  • 04/2019 - Present: Data Scientist. Shopee Corporation, Singapore.

    • Implemented CV solutions from scratch for KYC processes in Shopee Credit, Airpay and SeaMoney.
    • Built deep learning models for face detection, face recognition ( 1 vs 1 matching and 1 vs N matching).
    • Built Shopee in-house face detection SDK for mobile devices that beat the pretrained GMS model in both speed and accuracy.
    • Designed and implemented ML services running in SEA regions (ID, TH, PH, MY, VN) that serving more than 20M users and more than 30 QPS
    • Built a centralized log platform for monitoring all services.
    • Stack:
      • Model: ArcFace, Retina Face, PFLD.
      • Services: Docker, Flask, Redis, Celery, ELK,
      • Tools: Tensorflow, Pytorch, FAISS, Milvus, Pandas, Jupyter Notebook, Tmux, Crontab, Shell scripts.
      • Mobile Dev: Java (Android).

  • 03/2017 - 03/2019: Research Assistant. Imaging and Intelligent System Laboratory. Sejong Univsersity, South Korea.

    • Research topic: machine learning and deep learning in imbalanced data, bankruptcy problem, 3D face reconstruction, head pose esimation, gaze tracking.

  • 02/2016 - 08/2016: Research Assistant. University of Science, Ho Chi Minh City, Vietnam.

    • Research topic: human activity detection, human recognition in videos.

  • 03/2016 - 03/2017: Software Engineer. VNG Corporation.

    • Android developer: Maintain and develop product features for Zalo chat application and Laban key application.
    • Google Play Store: Zalo - Video Call, Laban Key
    • Stack: Android, Java.

  • 05/2015 - 07/2015: Software Engineer, Intern. Orient Software Corporation

    • Web developer: Build Single Page App websites using MEAN Stack technology
    • Stack: MongoDB, NodeJS, AngularJS, ExpressJS, ASP .NET.

Education

  • 03/2017 - 03/2019: MSc Student, Computer Science. Sejong Univsersity, South Korea

    • Thesis: Reconstructing 3D Face Model from a Single 2D Image at Arbitrary Pose with Robust Morphing using Gaussian Radial Basis Function.
    • GPA: 4.25/4.5

  • 10/2012 - 11/2016: BSc, (Hons) Advanced Program in Computer Science. University of Science, Ho Chi Minh City, Vietnam

    • Thesis: Human Activity Detection and Recognition from RGB-D Images
    • GPA: 3.69/4.0

Research Publication

Selected Journal Articles

{: reversed="reversed"}

  1. Le, C. T., Vo, M. T., Tung, K., Eenjun, H., Seungmin, R., Sung, W. B., Multiple electric energy consumption forecasting using a cluster-based strategy for transfer learning in smart building, Sensors, Vol. 20(9), pp. 2668, 2020, IF: 3.03. Link

  2. Vo, M. T., Nguyen, T., Le, C. T., "Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network," IEEE Access, Vol. 8, No.1, pp.3687-3694, 2020, IF: 4.09. Link

  3. Le, C. T, Vo, M. T., Vo, B., Eenjun, H., Seungmin, R., and Sung, W. B., "Improving electric energy consumption prediction using CNN and Bi-LSTM," Applied Sciences, Vol.9 (20), 2019. IF: 2.22. Link

  4. Le, T, Vo, M. T., Vo. B., Lee. M. Y., and Sung, W. B., "A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction," Complexity, Vol. 2019, 2019, IF: 2.59. Link

  5. Vo, M. T., Nguyen. T., Le. C. T.,"A Hybrid Framework for Smile Detection in Class Imbalance Scenarios," Neural Computing and Applications, pp.1-10, 2019, IF: 4.21. Link

  6. Vo, M. T. , Nguyen, T., Le, C. T., "Race Recognition Using Deep Convolutional Neural Networks," Symmetry, Vol. 10, No, 11, pp. 564, 2018, IF: 1.25. Link

  7. Le, C. T., Le, H. S., Vo, M. T., Lee, M. Y., and Sung, W. B., "A Cluster-Based Boosting Algorithm for Bankruptcy Prediction in a Highly Imbalanced Dataset," Symmetry, Vol. 10, No.7, pp.250, 2018, IF: 1.25. Link

Conference Proceedings

  1. Vo, M. T. and Kong, S. G., "Head Pose Estimation via Manifold Learning on Global Features extraction," In Proceedings of the 18th International Symposium on Advanced Intelligent Systems, Daegu, South Korea, 2017.

Miscellaneous Experience

Awards and Achivements

  • 2016 - 2018: Full Master Scholarship, Sejong University, South Korea.

Certification

  • 2017: Certified Deep Leraning with Tensorflow. Awarded by IBM Cognitive Class. Link